Alzheimer’s disease modeling and drug screening through hiPSC 3D bioprinting
Bibliographic record
Abstract
BACKGROUND: Our current understanding of the molecular mechanisms underlying amyloidogenesis in Alzheimer's Disease (AD) is limited by the lack of comprehensive models closely resembling human pathology. Human induced pluripotent stem cell (hiPSC) 3-dimensional (3D) models, such as brain organoids and neurospheres, are emerging as innovative approaches to model neurodegenerative diseases in vitro. However, they rely on hiPSC self-organization and are therefore characterized by low reproducibility and homogeneity. Moreover, they lack proper extracellular matrix (ECM) and microglial cells which both play a pivotal role in amyloid beta (Aβ) plaque dynamics. 3D-bioprinting is an innovative bioengineering technique that combines biomaterials and live cells, in so-called 'bioinks', to shape, in a layer-by-layer fashion, highly geometrical controlled 3D structures. The surrounding ECM improves the exchange of nutrients, oxygen, and drugs making them closer to the physiological fluidic dynamic. METHOD: Here, we generated a 3D-Bioprinted brain model suitable for long-lasting culturing of iPSCs-derived cortical neurons and astrocytes starting from neuronal precursor cells (NPCs). RESULT: NPCs can be successfully bioprinted in a multilayer wood-pile structure to mimic the human cerebral cortex architecture with high spatial resolution, low pressure, and high speed maintaining cell viability and proliferation. NPCs can be efficiently expanded and differentiated into functional cortical neurons/astrocytes in 3D cultures. Moreover, when exogenous synthetic Aβ42 is administrated to the culturing medium, hiPSC-derived microglia can efficiently infiltrate into 3D bioprinted constructs and phagocyte amyloid deposits. CONCLUSION: We believe our model will serve to elucidate the early stages of AD by offering a novel perspective that more closely resembles the human AD brain. Furthermore, by using synthetic Aβ enriched bioink and familial AD cell lines that overexpress Aβ our system might offer the chance to study the nucleation of Aβ deposits in real time and mimic the formation of proper Aβ plaques in vitro without the involvement of animal models.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".